AI & ML Computational Science Consultant

Job Title: AI ML Computational Science Consultant (Generative AI - LLM)

Location: Bangalore (BDC7C)

Experience Level: 5+ Years

About the Role

The AI/ML Computational Science Consultant will develop and scale Text2SQL frameworks and Retrieval-Augmented Generation (RAG) solutions for enterprise applications. This role involves engineering prompts for large language models (LLMs), building AI agents, and creating Q&A systems and chatbots. Collaboration with cross-functional teams and maintaining documentation of development processes are key responsibilities, along with staying updated on the latest AI advancements.

Key Responsibilities

Framework Development:Create and scale Text2SQL frameworks for enterprise applications and implement Retrieval-Augmented Generation (RAG) frameworks for optimal accuracy and performance.

Prompt Engineering: Design prompts for large language models (LLMs) to achieve specific outputs and evaluate RAG framework effectiveness.

AI Agent Deployment: Build and deploy AI agents using llama index and langchain frameworks, while enhancing model efficiency with vector databases.

System Development: Develop Q&A systems and conversational chatbots for both structured and unstructured datasets, fine-tuning LLMs for improved performance.

Collaboration Documentation:Work with cross-functional teams to integrate AI solutions into existing systems and maintain thorough documentation of development processes.

Qualifications

Required
Qualifications

Education: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Experience:Over 5 years in AI/ML solution development, particularly with LLMs and enterprise-level Text2SQL frameworks.

Technical Skills:Proficient in prompt engineering, llama index/langchain frameworks, and vector databases; experience in developing Q&A systems and chatbots.

Problem-Solving & Communication: Strong analytical skills with excellent communication abilities to work effectively both independently and within a team.

Excellent communication and collaboration skills.

Ability to work independently and as part of a team.

Preferred Skills

Familiarity with advanced natural language processing (NLP) techniques and libraries, including transformers, attention mechanism and embeddings

Understanding of AI/ML models

Experience with cloud platforms (AWS, Azure, GCP) for deploying AI/ML models.

Knowledge of MLOps practices and tools.

Understanding of data privacy and security considerations in AI/ML solutions.

Proficiency in Python and other relevant programming languages.

Experience with API development and integration.